Qualifications and Experience

• Bachelor’s degree in Data science, Statistics, Computer Science, or a related field
  
• 3+ years of experience in data modelling and analysis, with a focus on visualization tools such as Power BI development and tabular data modeling.
  
• Proficiency in data analysis tools and programming languages such as SQL, Python, R, DAX or similar.
  
• Automation mindset with attention to data quality and reliability
  
• Strong understanding of data governance principles, compliance requirements, and best practices.
  
• Strong analytical and problem-solving skills, with a keen attention to detail.
  
• Ability to work independently and manage multiple projects in a fast-paced environment.
  
• Proven track record of leading and delivering complex data analysis projects from inception to completion.
  
• Ability to communicate clearly with both technical and non-technical stakeholders
  
• Certification in Power BI, Snowflake, or related technologies is a plus.
  

Data Pipelines and Data Architecture

• Design, build, and maintain data pipelines from ERP Next and related systems into the analytics warehouse (e.g., Snowflake).
  
• Develop and maintain clean, well-documented data models including fact tables, dimensions and marts aligned to business reporting needs.
  
• Ensure data accuracy, consistency, and historical integrity across all pipelines.
  
• Monitor pipeline health and resolve data breaks, latency, or reconciliation issues.
  

Automation and Data Operations

• Automate data ingestion, transformations, and refresh schedules across the stack.
  
• Build data quality checks, validations, and exception alerts (e.g., missing data, outliers, reconciliation mismatches)
  
• Automate recurring operational reports and refresh cycles for dashboards.
  
• Reduce manual spreadsheet-based processes through scripted or scheduled workflows.
  
• Maintain clear documentation of data sources, logic, and dependencies.
  

Analytics, Reporting and Business Insights

• Develop and maintain Power BI dashboards and reports for finance, operations, HR and leadership.
  
• Partner with business stakeholders to define KPIs, metrics, and reporting logic.
  
• Translate ERP transactions into meaningful performance indicators and trends.
  
• Support ad-hoc analysis, management reporting and executive decision-making.
  
• Ensure reports are intuitive, trusted and aligned to a single source of truth.